The goal of this work focuses mainly in the development of reduced-order modeling tools for the design and optimization of manufacturing of pharmaceutical oral solid dosage form products. This work- as part of a collective effort of the Engineering Research Center for Structured Organic Particulate Systems (ERC-SOPS)- aims to combine all the research findings of the Center in terms of material properties and process understanding in order to design efficient continuous integrated manufacturing processes. Different surrogate-based methodologies are assessed for reduced-order model building based on either experimental data or computer simulation data. In addition, the effects of uncertainty of the available data, material properties and model parameters on model performance are addressed systematically. Finally, unit operation models are combined into a flowsheet simulation model which can be used for process design through the development of a simulation-based optimization strategy for noisy expensive flowsheets with complex constraints.
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Chemical and Biochemical Engineering
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Rutgers University Electronic Theses and Dissertations
Rutgers University. Graduate School - New Brunswick
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